Object Detection
Transformers
PyTorch
TensorBoard
deta
Generated from Trainer
swin
traffic
automotive
ITS
computer-vision
Instructions to use mcity-data-engine/fisheye8k_jozhang97_deta-swin-large-o365 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mcity-data-engine/fisheye8k_jozhang97_deta-swin-large-o365 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="mcity-data-engine/fisheye8k_jozhang97_deta-swin-large-o365")# Load model directly from transformers import AutoModelForObjectDetection model = AutoModelForObjectDetection.from_pretrained("mcity-data-engine/fisheye8k_jozhang97_deta-swin-large-o365", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 876ef217e6cb8a8537a48021e4559484ca8eddda0ba928021684bc3a287c7771
- Size of remote file:
- 5.56 kB
- SHA256:
- aeabf043d436c828c29a969662c5b3b0b3bead8b1cbb0cbc9f8619728e77429c
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